{"id":"W2552610763","doi":"10.1111/epi.13607","title":"Structured clinical documentation in the electronic medical record to improve quality and to support practice‐based research in epilepsy","year":2016,"lang":"en","type":"article","venue":"Epilepsia","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Agency for Healthcare Research and Quality; NorthShore University HealthSystem","keywords":"Documentation; Epilepsy; Medical record; Medicine; Electronic medical record; Quality (philosophy); Clinical Practice; Clinical neurology; Psychology; Medical emergency; Medical education; Family medicine; Computer science; Psychiatry; Neuroscience; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06459209,0.0002276244,0.0006207374,0.0004478527,0.00033792,0.00002782645,0.0006229685,0.0005687873,0.001002392],"category_scores_gemma":[0.01818922,0.0001412641,0.00005832841,0.001098065,0.0001142909,0.0002912019,0.000183307,0.002968339,0.0006399047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696776,"about_ca_system_score_gemma":0.005316545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005543276,"about_ca_topic_score_gemma":0.03334027,"domain_scores_codex":[0.9725712,0.02000261,0.002658584,0.0009716408,0.001534981,0.002261015],"domain_scores_gemma":[0.9777617,0.02004291,0.0003683491,0.0008597297,0.0002969939,0.0006703396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002443936,0.0002906362,0.679344,0.0002828993,0.00002091849,0.00005487443,0.004244989,4.949205e-7,0.0005426113,0.01383106,0.03482132,0.2641222],"study_design_scores_gemma":[0.006012663,0.003831558,0.691018,0.000736314,0.000009816814,0.00001014236,0.003614278,0.00006452799,0.00003109603,0.00591842,0.2883819,0.0003713362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141444,0.0000638074,0.00118582,0.1759736,0.001063779,0.005108955,0.00001785667,0.00004803664,0.00239373],"genre_scores_gemma":[0.9759759,0.0001863601,0.0005927848,0.02034999,0.0007542481,0.001605012,0.00001122183,0.00003928373,0.0004851979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2637509,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3015370846906639,"score_gpt":0.6261930012114929,"score_spread":0.324655916520829,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}